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John McCarthy (4. září 1927, Boston – 23. října 2011, Palo Alto) byl americký informatik a kognitivní vědec. V roce 1971 obdržel Turingovu cenu za přínos v oboru umělé inteligence. V roce 1955 navrhl na konferenci v Dartmouthu používat pojem „umělá inteligence“, který se také ujal. John McCarthy byl také tvůrce programovacího jazyka Lisp.
The analysis highlights Overview, Related Topics and Entities as prominent areas in the source structure around John McCarthy.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around John McCarthy shows recurring relationship patterns in the source. For example, John McCarthy → Obrázky, Wikimedia Commons Another extracted example is John McCarthy → Kalifornský technologický institut (do 1948) Princetonská univerzita (do 1951) Belmont High School. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
mccarthy boston john září 23 října palo alto spojené státy americké 1927 2011 commons roce inteligence informatik 1971 massachusetts kalifornie
TTTA extracted 14 structured relationships around John McCarthy. Examples in this analysis include John McCarthy → Alma mater → Kalifornský technologický institut (do 1948) Princetonská univerzita (do 1951) Belmont High School and John McCarthy → Místo pohřbení → Alta Mesa Memorial Park. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| John McCarthy | Alma mater | Kalifornský technologický institut (do 1948) Princetonská univerzita (do 1951) Belmont High School | 1.00 | infobox |
| John McCarthy | Místo pohřbení | Alta Mesa Memorial Park | 1.00 | infobox |
| John McCarthy | Narození | 4. září 1927 Boston, Massachusetts, Spojené státy americké | 1.00 | infobox |
| John McCarthy | Nábož. vyznání | judaismus | 1.00 | infobox |
| John McCarthy | Občanství | Spojené státy americké | 1.00 | infobox |
| John McCarthy | Ocenění | Turingova cena (1971) Cena počítačového průkopníka (1985) IJCAI Award for Research Excellence (1985) Kyoto Prize in Advanced Technology (1988) Národní vyznamenání za vědu (1990)… | 1.00 | infobox |
| John McCarthy | Povolání | Informatik | 1.00 | infobox |
| John McCarthy | Příčina úmrtí | infarkt myokardu | 1.00 | infobox |
| John McCarthy | Rodiče | Ida Glatt McCarthy | 1.00 | infobox |
| John McCarthy | Web | www-formal.stanford.edu/jmc// | 1.00 | infobox |
| John McCarthy | Zaměstnavatelé | Massachusettský technologický institut (do 1962) Stanfordova univerzita (1962–2000) Princetonská univerzita | 1.00 | infobox |
| John McCarthy | Úmrtí | 23. října 2011 (ve věku 84 let) Palo Alto, Kalifornie, Spojené státy americké | 1.00 | infobox |
The concept neighborhoods around John McCarthy bring nearby vocabulary together. In this analysis, examples include Mccarthy, Alto and Boston. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Bridges highlight paths between different parts of the John McCarthy map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around John McCarthy to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Overview, Related Topics & Entities, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — John McCarthy · CS edition · Analysis: TopicsToTalkAbout